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ExA: Execution Trace Analytics

Reference number
Coordinator KUNGLIGA TEKNISKA HÖGSKOLAN - Skolan för elektroteknik och datavetenskap
Funding from Vinnova SEK 150 000
Project duration July 2020 - September 2020
Status Completed
Venture ECSEL

Important results from the project

ExA will develop the next-generation log analytics with an “interactive” visual framework by combining the best of model-driven engineering and artificial intelligence for high-tech Cyber- Physical Systems and Systems of Systems, to produce high-value information from low-quality and high-diversity logs, enabling more efficient SW development and new SW and System innovation discovery based on insights from SW and System behaviour and use.

Expected long term effects

The goal of this project preparation coordination was to create a full proposal document, including a complete consortium that fulfills all the funding requirements in each partner country. For Sweden, this meant adding a large enterprise to balance funding between academia and industry. We have successfully achieved this.

Approach and implementation

We have addressed all the comments of the reviewers of the project outline. On the Swedish side, we have removed Elastisys from the consortium (due to difficulties committing to a large project after Covid-19 changed their situation) and added Huawei instead.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 30 October 2020

Reference number 2020-03053